Computational Exploration of Limonin as a Potential Inhibitor of DapB in Klebsiella pneumoniae.

Abstract

Klebsiella pneumoniae has emerged as a significant multidrug-resistant pathogen, classified as a critical priority by the World Health Organization. The rising rates of antibiotic resistance have led to increased therapeutic failures, diminishing the effectiveness of existing antibiotics. Consequently, there is an urgent need for alternative treatments to effectively inhibit the growth of K. pneumoniae and mitigate associated diseases. Phytochemicals have demonstrated potential advantages over traditional antibiotics, prompting their exploration as innovative therapeutic agents. This study aimed to identify phytochemicals that can inhibit dapB, a vital enzyme in the lysine biosynthesis pathway of K. pneumoniae, which is essential for protein synthesis and the cross-linking of the bacterial peptidoglycan cell wall. We screened 17,934 phytochemicals based on Lipinski's Rule of Five, along with their Absorption, Distribution, Metabolism, Excretion properties and toxicological parameters. Next, we conducted triplicate docking studies against dapB to evaluate the library further. The most promising molecules then underwent 100 ns Molecular Dynamics simulations in triplicate, followed by binding free energy calculations to identify potential dapB inhibitors. This in silico analysis highlighted limonin as a promising inhibitor of dapB in K. pneumoniae. Further experimental validation is crucial to enhance limonin's potential as a novel therapeutic agent against K. pneumoniae-associated diseases.